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Automated Speed Enforcement (ASE)


Deaths and injuries from Road crashes contribute significantly to the burden of disease. Globally, 1.35 Millions are lost each year and LMICs are more affected despite having the lowest share of vehicles. As per the WHO report 2018, Rwanda is among countries with high rates of road deaths above the Africa average. Speeding is one of the common cause of road crashes, hence effective speed management is expected to reduce road crashes and resultant deaths and injuries.

What are we doing about it?

Rwanda represents the first low-income African country to implement a comprehensive ASE system and sharing the lessons learned from their experience can facilitate implementation of ASE in other countries experiencing similar challenges of limited resources and desire to improve road safety. The objectives of the project are:

  • Comprehensively describe the processes of deployment of ASE infrastructure and operations in LMICs.

  • Develop impacts and cost-effectiveness model of ASE over time.

  • Evaluate the knowledge, attitudes and practices (KAP) related to ASE of road users over time

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Research on the
Impacts of Automated
Speed Enforcement
in Rwanda to Develop
Recommendations for
African Countries

Self-Published Compiled



Research on the Impacts of Automated Speed Enforcement in Rwanda to Develop Recommendations for African Countries


This report resulted from a partnership project between Healthy People Rwanda (HPR) and the Traffic Injury Research Foundation (TIRF). The Global Road Safety Facility (GRSF) of the  World Bank provided funds to support the study with funding from UK Aid.


Rwanda’s pioneering initiative as the first low-income country in Africa to implement a comprehensive national Automated Speed Enforcement (ASE) system provides a gateway for sharing important insights to address shared challenges in road safety. With limited resources, a high burden of road traffic injuries, and a collective commitment to improving road safety, Rwanda’s experience serves as a blueprint for other nations facing similar road safety challenges. The current project fills a gap in research, as no prior studies have assessed national automated speed enforcement implementation in African countries. Our multifaceted approach encompasses the description of ASE system implementation, experimental assessment of camera impact on speed outcomes, measurement of public experiences and perceptions, and an investigation into the effectiveness of ASE tools in reducing collisions.

The comprehensive report contains four important studies, each contributing vital insights. 


The first study delves into the national adoption and scale-up of automated speed enforcement in Rwanda, employing qualitative methods such as key informant interviews and focus group discussions. With this approach, the planning and implementation process is mapped and described. In addition, perceived successes were documented and areas for improvement were identified


The third study involves a national survey exploring public perceptions of ASE and road safety. The majority of respondents viewed speed cameras and citations as fair, emphasizing the importance of ASE for public safety.


The second study presents a cross-sectional study evaluating the impact of ASE on motorist speeds and violations in Rwanda. Findings indicate a significant decrease in mean speeds, suggesting a positive influence on road user behaviour.


The last segment utilized an interrupted time series analysis to assess the impact of ASE on road traffic crashes, injuries, and deaths from 2010-2022. It sheds light on the challenges faced in balancing research priorities with the police’s focus on ensuring safety and security.

Together, these studies provided a comprehensive understanding of the ASE implementation process, its impact, and public perceptions, contributing valuable insights for the improvement of road safety initiatives in LMICs.

We are thankful for the collaboration of Rwanda National Police (RNP), without which this study would not be possible.


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